| The Disagreement Problem in Faithfulness Metrics | Nov 13, 2023 | BenchmarkingExplainable artificial intelligence | —Unverified | 0 |
| Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications | Oct 23, 2023 | FairnessIn-Context Learning | —Unverified | 0 |
| Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance | Oct 8, 2023 | Binary ClassificationClassification | CodeCode Available | 1 |
| Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule | Sep 16, 2023 | AutoMLData Augmentation | CodeCode Available | 0 |
| Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck | Sep 7, 2023 | tabular-classification | —Unverified | 0 |
| A Suite of Fairness Datasets for Tabular Classification | Jul 31, 2023 | ClassificationFairness | —Unverified | 0 |
| Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization | Jun 15, 2023 | Domain AdaptationDomain Generalization | —Unverified | 0 |
| TabLLM: Few-shot Classification of Tabular Data with Large Language Models | Oct 19, 2022 | ClassificationDeep Learning | CodeCode Available | 2 |
| Is margin all you need? An extensive empirical study of active learning on tabular data | Oct 7, 2022 | Active LearningAll | —Unverified | 0 |
| PTab: Using the Pre-trained Language Model for Modeling Tabular Data | Sep 15, 2022 | Language ModelingLanguage Modelling | —Unverified | 0 |
| GANDALF: Gated Adaptive Network for Deep Automated Learning of Features | Jul 18, 2022 | feature selectionregression | CodeCode Available | 1 |
| TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second | Jul 5, 2022 | AutoMLBayesian Inference | CodeCode Available | 5 |
| The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling | Jan 1, 2022 | Binary ClassificationDeep Learning | CodeCode Available | 1 |
| Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models | Dec 1, 2021 | image-classificationImage Classification | CodeCode Available | 0 |
| Fieldwise Factorized Networks for Tabular Data Classification | Sep 29, 2021 | Classificationtabular-classification | —Unverified | 0 |
| CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations | Aug 18, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption | Jun 29, 2021 | Contrastive LearningRepresentation Learning | CodeCode Available | 0 |
| Revisiting Deep Learning Models for Tabular Data | Jun 22, 2021 | Deep Learningtabular-classification | CodeCode Available | 1 |
| Metalearning Using Structure-rich Pipeline Representations for Better AutoML | Mar 13, 2021 | AutoMLreinforcement-learning | —Unverified | 0 |
| TabTransformer: Tabular Data Modeling Using Contextual Embeddings | Dec 11, 2020 | tabular-classificationUnsupervised Pre-training | CodeCode Available | 1 |
| Ensemble Squared: A Meta AutoML System | Dec 10, 2020 | AutoMLBIG-bench Machine Learning | —Unverified | 0 |
| Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? | May 4, 2020 | counterfactualtabular-classification | CodeCode Available | 1 |
| Generative Imputation and Stochastic Prediction | May 22, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 |
